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Institution

Oklahoma State University–Stillwater

EducationStillwater, Oklahoma, United States
About: Oklahoma State University–Stillwater is a education organization based out in Stillwater, Oklahoma, United States. It is known for research contribution in the topics: Population & Large Hadron Collider. The organization has 18267 authors who have published 36743 publications receiving 1107500 citations. The organization is also known as: Oklahoma State University & OKState.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors identify 12 distinct models that rely on logistic regression and fit within a framework of three major approaches with variations within each approach based on the application of the proportional odds assumption.
Abstract: Ordinal-level measures are very common in social science research. Researchers often analyze ordinal dependent variables using the proportional odds logistic regression model. However, this ‘‘traditional’’ method is one of many different types of logistic regression models available for the analysis of ordered response variables. In this article, the author identifies 12 distinct models that rely on logistic regression and fit within a framework of three major approaches with variations within each approach based on the application of the proportional odds assumption. This typology provides a degree of conceptual clarity that is missing in the extant literature on logistic regression models for ordinal outcomes. The author illustrates the similarities and differences among the different models with examples from the General Social Survey and the American National Election Study.

240 citations

Journal ArticleDOI
TL;DR: Among many of the pathogenic bacteria, OmpA proteins have important pathogenic roles including bacterial adhesion, invasion, or intracellular survival as well as evasion of host defenses or stimulators of pro-inflammatory cytokine production.

240 citations

Journal ArticleDOI
TL;DR: In this paper, an electrophoretic deposition on ITO glass supports from aqueous-ethanol colloidal solutions of monodisperse submicrometer-sized negatively charged polystyrene latex spheres has been used for the impregnation of 3D colloidal crystals with luminescent CdTe nanocrystals.
Abstract: Three-dimensional colloidal crystals have been grown by electrophoretic deposition on ITO glass supports from aqueous-ethanol colloidal solutions of monodisperse submicrometer-sized negatively charged polystyrene latex spheres. The technique offers the possibility to produce uniform single-crystal colloidal multilayers on the time scale of minutes, which is a drastic acceleration in comparison with the gravity sedimentation technique that needs weeks or even months. SEM and AFM images of colloidal crystals reveal that close-packed 3D fcc ordering of the latex spheres extends over large areas. Electrophoretically deposited colloidal crystals show a pronounced photonic stopband in the visible spectral range in the normal incidence transmission spectra with a position depending on the size of latex spheres. The electrophoretic deposition has also been used for the impregnation of 3D colloidal crystals with luminescent CdTe nanocrystals. The luminescence spectrum of CdTe nanocrystals shows a dip at the wavele...

240 citations

Proceedings ArticleDOI
11 Sep 2006
TL;DR: A new fitness value is placed in the normalized fitness-constraint violation space, and two penalty values are applied to infeasible individuals so that the algorithm would be able to identify the best infeasibility individuals in the current population.
Abstract: This paper proposes a self adaptive penalty function for solving constrained optimization problems using genetic algorithms. In the proposed method, a new fitness value, called distance value, in the normalized fitness-constraint violation space, and two penalty values are applied to infeasible individuals so that the algorithm would be able to identify the best infeasible individuals in the current population. The method aims to encourage infeasible individuals with low objective function value and low constraint violation. The number of feasible individuals in the population is used to guide the search process either toward finding more feasible solutions or toward finding the optimum solution. The proposed method is simple to implement and does not need parameter tuning. The performance of the algorithm is tested on 13 benchmark functions in the literature. The results show that the approach is able to find very good solutions comparable to other state-of-the-art designs. Furthermore, it is able to find feasible solutions in every run for all of the benchmark functions.

239 citations


Authors

Showing all 18403 results

NameH-indexPapersCitations
Gerald I. Shulman164579109520
James M. Tiedje150688102287
Robert J. Sternberg149106689193
Josh Moss139101989255
Brad Abbott137156698604
Itsuo Nakano135153997905
Luis M. Liz-Marzán13261661684
Flera Rizatdinova130124289525
Bernd Stelzer129120981931
Alexander Khanov129121987089
Dugan O'Neil128100080700
Michel Vetterli12890176064
Josu Cantero12684673616
Nicholas A. Kotov12357455210
Wei Chen122194689460
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202336
2022254
20211,902
20201,780
20191,633
20181,529